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» Evaluating algorithms that learn from data streams
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DOLAP
2004
ACM
16 years 1 months ago
A new OLAP aggregation based on the AHC technique
Nowadays, decision support systems are evolving in order to handle complex data. Some recent works have shown the interest of combining on-line analysis processing (OLAP) and data...
Riadh Ben Messaoud, Omar Boussaid, Sabine Rabas&ea...
BMCBI
2010
171views more  BMCBI 2010»
15 years 7 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
RTSS
2006
IEEE
16 years 1 months ago
LITMUS^RT : A Testbed for Empirically Comparing Real-Time Multiprocessor Schedulers
We present a real-time, Linux-based testbed called LITMUSRT , which we have developed for empirically evaluating multiprocessor real-time scheduling algorithms. We also present th...
John M. Calandrino, Hennadiy Leontyev, Aaron Block...
GLOBECOM
2007
IEEE
16 years 1 months ago
LOFT: A Latency-Oriented Fault Tolerant Transport Protocol for Wireless Sensor-Actuator Networks
— Wireless sensor-actuator networks, or WSANs, refer to a group of sensors and actuators which collect data from the environment and perform application-specific actions in resp...
Edith C. H. Ngai, Yangfan Zhou, Michael R. Lyu, Ji...
VLDB
2007
ACM
111views Database» more  VLDB 2007»
16 years 1 months ago
Security in Outsourcing of Association Rule Mining
Outsourcing association rule mining to an outside service provider brings several important benefits to the data owner. These include (i) relief from the high mining cost, (ii) m...
Wai Kit Wong, David W. Cheung, Edward Hung, Ben Ka...